Comprehensive learning particle swarm optimization for reactive power dispatch

By K. Mahadevan, P. Kannan. Applied Soft Computing, 2010

330 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/eb931166b2dcbb9a0e9b512120dccdb992a7347b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Jirawadee Polprasert
2. Weerakorn Ongsakul
3. Vo Ngoc Dieu

In Electrical and Electronic Engineering

1. Jirawadee Polprasert
2. Weerakorn Ongsakul
3. Vo Ngoc Dieu

Citations in the corpus

• Optimal Reactive Power Dispatch Using Improved Pseudo-gradient Search Particle Swarm Optimization (2016, methodology): “Table 8 shows the comparison of the best results from the proposed IPG-PSO method to those of QOTLBO [10], teaching learning based optimization (TLBO) [10], GSA [11], DE [12], HSA [13], improved genetic algorithm (IGA) [14], BBO [15], new modified shuffled frog leaping algorithm (NMSFLA) [16], CL-PS”